Ludovica Griffanti

According to our database1, Ludovica Griffanti authored at least 25 papers between 2011 and 2022.

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PhD thesis 


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Identifying microstructural changes in diffusion MRI; How to circumvent parameter degeneracy.
NeuroImage, 2022

Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets.
NeuroImage, 2021

Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images.
Medical Image Anal., 2021

Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.
Medical Image Anal., 2021

Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.
Frontiers Neuroinformatics, 2021

Brain tumour segmentation using a triplanar ensemble of U-Nets.
CoRR, 2021

Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study.
NeuroImage, 2020

Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.
NeuroImage, 2019

Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference.
NeuroImage, 2019

ICA-based denoising for ASL perfusion imaging.
NeuroImage, 2019

Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults.
NeuroImage, 2018

Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank.
NeuroImage, 2018

Hand classification of fMRI ICA noise components.
NeuroImage, 2017

BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.
NeuroImage, 2016

Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease.
NeuroImage, 2016

Iterative Dual LDA: A Novel Classification Algorithm for Resting State fMRI.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Brain functional connectivity in resting state : methods for networks identification and noise separation in healthy subjects and Alzheimer's disease.
PhD thesis, 2014

Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers.
NeuroImage, 2014

ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging.
NeuroImage, 2014

Resting-state fMRI in the Human Connectome Project.
NeuroImage, 2013

Signal-to-noise ratio of diffusion weighted magnetic resonance imaging: Estimation methods and in vivo application to spinal cord.
Biomed. Signal Process. Control., 2012

A novel approach of fMRI-guided tractography analysis within a group: Construction of an fMRI-guided tractographic atlas.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Comparison between skeleton-based and atlas-based approach in the assessment of corpus callosum damages in Mild Cognitive Impairment and Alzheimer Disease.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011